[1]蒋 敏,邱 华,敬大兴,等.水轮机制动非线性扰动反馈解耦优化控制方法研究[J].机械与电子,2025,(05):49-54.
　IANG Min,QIU Hua,JING Daxing,et al.Study on Nonlinear Disturbance Feedback Decoupling Optimal Control Method for Hydraulic Turbine Braking[J].Machinery & Electronics,2025,(05):49-54.
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水轮机制动非线性扰动反馈解耦优化控制方法研究()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2025年05期
页码:
49-54
栏目:
自动控制与检测
出版日期:
2025-05-23

文章信息/Info

Title:
Study on Nonlinear Disturbance Feedback Decoupling Optimal Control Method for Hydraulic Turbine Braking
文章编号:
1001-2257 ( 2025 ) 05-0049-06
作者:
蒋 敏; 邱 华; 敬大兴; 王鲁川
国能大渡河猴子岩发电有限公司,四川 康定 626005
Author(s):
IANG Min ;  QIU Hua ;  JING Daxing ;  WANG Luchuan
( China National Energy Dadu River Houziyan Power Generation Co. , Ltd. , Kangding 626005 , China )
关键词:
非线性扰动; 优化控制; 水轮机制动系统; 反馈解耦; 扩展状态观测器
Keywords:
nonlinear disturbance ;  optimal control ;  hydraulic turbine braking system ;  feedback decoupling ;  extended state observer
分类号:
TM312 ;TP18
文献标志码:
A
摘要:
为解决水轮机制动过程由于受到多种非线性因素的影响,导致制动力不稳定,以及水轮机制动过程响应时间过长等问题,提出水轮机制动非线性扰动反馈解耦优化控制方法。深入分析水轮机制动非线性扰动源,设计一种扩展状态观测器,实时估计水轮机制动非线性扰动和状态变量,引入改进粒子群算法实时确认制动过程中的能量耗散规律以及转轮与制动闸之间的相互作用关系,对状态变量最佳估计值进行优化计算;利用状态变量最佳估计值,设计非线性扰动误差反馈解耦控制律,以固定的周期与频率,解决非线性扰动抑制效果较差的问题,完成水轮机制动优化控制。对数值模拟得出的速度场与试验结果的速度场进行对比,完成水轮机制动优化控制的试验。结果表明:经所提方法优化后,截面处速度场的 RSM 数值模拟曲线与 LDA 实际测试点值的偏差明显减小,水轮机内部流场的控制效果提高;所提方法与复转矩法、耦合参数辨识法等相比,可有效抑制非线性扰动,缩短水轮机制动控制响应时间。
Abstract:
A nonlinear disturbance feedback decoupling optimization control method for hydraulic turbine braking is proposed to address the issues of unstable braking force and long response time caused by various nonlinear factors during the braking process.A comprehensive analysis of nonlinear disturbance sources in hydraulic turbine braking is conducted.An extended state observer is designed to estimate the nonlinear disturbance and state variables of hydraulic turbine braking in real time.An improved particle swarm algorithm is introduced to confirm the energy dissipation law during the braking process and the interaction relationship between the impeller and the brake , and the calculation of the best estimated value of the state variables is optimized ; a nonlinear disturbance error feedback decoupling control law is designed using the best estimated value of state variables , with a fixed period and frequency , to solve the problem of poor nonlinear disturbance suppression effect and complete the optimization control of hydraulic turbine braking.The velocity field obtained from numerical simulation is compared with the velocity field obtained from experimental results to complete the experiment of hydraulic turbine braking optimization control. The results show that after optimization by the proposed method , the deviation between the RSM numerical simulation curve of the velocity field at the cross-section and the actual LDA test point values is significantly reduced , and the control effect of the internal flow field of the turbine is improved ; compared with methods such as complex torque method and coupling parameter identification method , the proposed method can effectively suppress nonlinear disturbances and shorten the response time of hydraulic turbine braking control.

参考文献/References:

[ 1 ] 周东东,王斌,艾博,等 . 考虑死区的水轮机调节系统非线性自抗扰控制 [ J ] . 水力发电学报,2023 , 42 ( 1 ):114-127.

[ 2 ] 涂勇 . 水轮机导叶分段关闭自适应控制研究[ J ] . 人民长江,2022 , 53 (增刊 1 ): 160-163.
[ 3 ] 陈金保,刘少华,陈上,等 . 孤网模式下水轮机调速系统广义预测控制应用方法[ J ] . 水利学报, 2024 , 55 ( 5 ):619-630.
[ 4 ] KANCHANAHARUTHAI A.Nonlinear recursive gain asymptotic tracking controller design for hydraulic turbine regulating systems [ J ] .Asian journal of control , 2023 , 25 ( 6 ): 4215-4231.
[ 5 ] 张飞,陈振木,祝宝山 . 水泵水轮机水环特性及其控制[ J ] . 中国电机工程学报, 2022 , 42 ( 22 ): 8232-8243.
[ 6 ] 易建波,张国洲,张鹏,等 . 超低频振荡阻尼控制中的水轮机调速系统参数双层优化策略[ J ] . 电工技术学报,2022 , 37 ( 5 ): 1219-1228.
[ 7 ] 黄利容,曾喆昭,曾鹏 . 水轮机调节系统的自耦 PID 控制方法[ J ] . 水力发电学报, 2023 , 42 ( 8 ): 80-88.
[ 8 ] 刘葳兴,刘磊,崔琳,等 . 潮流能水平轴水轮机流场分析[ J ] . 太阳能学报, 2023 , 44 ( 9 ): 468-475.
[ 9 ] SUN J , FENG C , ZHANG Y , et al.Transient coupling modeling and dynamic response analysis of hydraulic turbine governing system and shafting system [ J ] .International journal of non-linear mechanics , 2024 , 160 : 104625.
[ 10 ] MINAKOV A V , PLATONOV D V , SENTYABOV A V.Numerical simulation of swirling flow modes in a model of a hydraulic turbine and a draft tube [ J ] . Thermophysics and aeromechanics , 2023 , 30 : 37-42.
[ 11 ] 陈金保,任刚,丁萁琦,等 . 孤网模式下基于 HBBC 的水轮机调节系统稳定性量化分析方法研究[ J ] . 电力系统保护与控制,2023 , 51 ( 13 ): 60-69.
[ 12 ] 宋运忠,冉皓 . 基于广义预测控制的水轮机系统频率调节研 究 [ J ] . 河 南 理 工 大 学 学 报 (自 然 科 学 版),2022 , 41 ( 3 ): 103-111.
[ 13 ] 唐欣,李勇,王理扬,等 . 并网变流器序导纳模型的解耦控制方法[ J ] . 电力系统及其自动化学报, 2023 , 35( 3 ): 108-117.
[ 14 ] 徐萌,周玉祥,徐海,等 . 基于改进粒子群算法的开关磁阻电机本体优化[ J ] . 电子测量与仪器学报, 2023( 4 ): 131-141.
[ 15 ] 杨金东,李洋,邹屹东 . 基于 IWOA 算法求解含调压井水轮机调速系统控制参数的优化分析[ J ] . 水电能源科学,2023 , 41 ( 6 ): 188-191.
[ 16 ] 何胜明,张健,段贵金,等 . 水轮机调速器不同控制模式对电网超低频振荡影响分析[ J ] . 水电能源科学,2023 , 41 ( 12 ): 195-199.
[ 17 ] 李冬航,王聪,张宏立,等 . 基于浸入与不变原理的水轮机调节系统簇发振荡控制[ J ] . 振动与冲击, 2023 ,42 ( 16 ): 292-299.

备注/Memo

备注/Memo:
收稿日期: 2024-10-22
基金项目:猴子岩发电有限公司内部项目( GNDDH2024001 )
作者简介:蒋 敏 ( 1981- ),男,四川仁寿人,硕士,副高级工程师,研究方向为水电自动化;邱 华 ( 1984- ),男,湖北咸宁人,工程师,研究方向为水电自动化。
更新日期/Last Update: 2025-06-13